Title :
A Novel Multiple Image Deblurring Technique Using Fuzzy Projection onto Convex Sets
Author :
Jung, Seung-Won ; Kim, Tae-Hyun ; Ko, Sung-Jea
Author_Institution :
Dept. of Electr. Eng., Korea Univ., Seoul
fDate :
3/1/2009 12:00:00 AM
Abstract :
In this letter, we present a novel image restoration algorithm to deblur the image without estimating the image blur. The proposed algorithm performs deblurring by merging differently blurred multiple images in the spectrum domain using the fuzzy projection onto convex sets (POCS). Experimental results demonstrate that the merged single image contains much less blur than the multiple blurred images.
Keywords :
fuzzy set theory; image restoration; optical transfer function; fuzzy projection; image restoration; multiple image deblurring; projection onto convex sets; spectrum domain; Cameras; Deconvolution; Degradation; Frequency domain analysis; Frequency estimation; Fuzzy sets; Image reconstruction; Image restoration; Layout; Merging; Image deblurring; point spread function (PSF); projection onto convex sets (POCS);
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2008.2012227
